Machine Learning Assisted Cross-Layer Joint Optimal Subcarrier and Power Allocation for Device-to-Device Video Transmission-Reference-Cited by-同舟云学术

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Machine Learning Assisted Cross-Layer Joint Optimal Subcarrier and Power Allocation for Device-to-Device Video Transmission

Published:2024 Issue: Volume:12 Page:93568-93579
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Tseng Shu-Ming¹^ORCID,Wu Jun-Jie²^ORCID,Fang Chao³^ORCID

Affiliation:

1. Department of Electronic Engineering, National Taipei University of Technology, Taipei City, Taiwan

2. Lenovo Global Technology (Taiwan) Ltd., Taipei City, Taiwan

3. Faculty of Information Technology, Beijing University of Technology, Beijing, China

Funder

National Science and Technology Council, Taiwan

National Taipei University of Technology-Beijing University of Technology (NTUT-BJUT) Joint Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10586991.pdf?arnumber=10586991

Reference31 articles.

1. An Efficient Channel and Power Allocation Scheme for D2D Enabled Cellular Communication System: An IoT Application

2. Mobility-Aware Probabilistic Caching in UAV-Assisted Wireless D2D Networks

3. Joint Beamforming and Resource Allocation for Wireless-Powered Device-to-Device Communications in Cellular Networks

4. Device-to-device-based heterogeneous radio access network architecture for mobile cloud computing

5. Subcarrier Assignment and Power Allocation for Device-to-Device Video Transmission in Rayleigh Fading Channels

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